Creating Features for Time Series Data

本课程是 Analyzing Time Series and Sequential Data 专项课程的一部分

位教师：Chip Wells

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7个模块

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7个模块

深入了解一个主题并学习基础知识。

中级等级

需要一些相关经验

1 周完成

在 10 小时一周

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作业

18 项作业

授课语言：英语（English）

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本课程是 Analyzing Time Series and Sequential Data 专项课程专项课程的一部分

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该课程共有7个模块

This course focuses on data exploration, feature creation, and feature selection for time sequences. The topics discussed include binning, smoothing, transformations, and data set operations for time series, spectral analysis, singular spectrum analysis, distance measures, and motif analysis.

In this course you learn to perform motif analysis and implement analyses in the spectral or frequency domain. You also discover how distance measures work, implement applications, explore signal components, and create time series features. This course is appropriate for analysts with a quantitative background as well as domain experts who would like to augment their time-series tool box. Before taking this course, you should be comfortable with basic statistical concepts. You can gain this experience by completing the Statistics with SAS course. Familiarity with matrices and principal component analysis are also helpful but not required.

In this module you get an overview of the courses in this specialization and what you can expect.

涵盖的内容

1个视频1篇阅读材料

In this module you learn about the scope of this course and you access the software and files you will use for practices in the course.

涵盖的内容

1个视频4篇阅读材料1个应用程序项目

In this module, you learn about converting transactional sequences to time series. Other topics include exploring signal components in time series via decompositions and binning, and creating new time series features.

涵盖的内容

13个视频4个作业1个应用程序项目

13个视频总计28分钟

Introduction to Time Series 1分钟
Time Series Data Creation 2分钟
Selecting an Interval for Accumulation, Part 1 1分钟
Selecting an Interval for Accumulation, Part 2 2分钟
Demo: Accumulating Transactional Data to Time Series 4分钟
Summary Measures on Time Series 0分钟
Demo: Exploring Time Series Summary Characteristics 3分钟
Binning Time Series 1分钟
Demo: Exploring Time Series Using Binning 3分钟
Signal versus Noise 1分钟
Signal Types and Decompositions 4分钟
Demo: Decompositions Using the TSA Package 4分钟
Demo: Feature Creation Using the DATA Step-like Syntax in the TSMODEL Procedure 2分钟

4个作业总计95分钟

Think About It - Handling Missing Values 5分钟
Practice: Exploring and Accumulating a Time Series 30分钟
Practice: Creating Smoothed Representations of Time Series 30分钟
Practice: Performing a Decomposition Analysis 30分钟

1个应用程序项目总计5分钟

Open SAS Viya for Learners to Practice in this Module 5分钟

In this module you learn about the usefulness of distance or similarity measures between time series. Calculated distance measure are used as the basis in two analyses.

涵盖的内容

8个视频5个作业1个应用程序项目

8个视频总计20分钟

Introduction to Distance Measures for Time Series 2分钟
Measuring Sequence Similarity 2分钟
Direct Mapping and Time Warping 2分钟
Demo: An Example of Time Warping and Relative Path Costs 5分钟
Demo: Time Series Clustering 4分钟
Introduction to Symbolic Representation of Sequences 1分钟
The Symbolic Aggregate ApproXimation (SAX) 1分钟
Demo: SAX Distance for Input Variable Ranking Based on Similarity to the Target 3分钟

5个作业总计75分钟

Question - Evaluating Paths 5分钟
Question - Warping 5分钟
Think About It - SAX Word Sequences 5分钟
Practice: Performing a Similarity Analysis, Part 1 30分钟
Practice: Performing a Similarity Analysis, Part 2 30分钟

1个应用程序项目总计5分钟

Open SAS Viya for Learners to Practice in this Module 5分钟

In this module, we discuss and illustrate the basic ideas and applications in frequency domain analysis. We also discuss SSA and present demonstrations of applied SSA.